Source: CDF Labor Law LLP (blog)

Artificial Intelligence tools are being rapidly adopted in employment contexts for applicant screening, hiring and promotion decisions, productivity monitoring, and other personnel actions. Employers commonly use AI to analyze resumes, search publicly available background information, and evaluate video interviews, and some systems claim to assess personality traits or “culture fit” from facial expressions, word choice, or vocal patterns. While these technologies can increase efficiency and reduce administrative burdens, they also introduce substantial legal risks as regulators and segments of the public express concern.

As AI augments human decision‑making, algorithmic discrimination—whether intentional or inadvertent—can expose employers to liability under federal and state anti‑discrimination laws. California’s Civil Rights Department has issued regulations on Automated Decision Systems (ADS), and employers are advised to consider bias audits of systems used in hiring, promotion, or discipline together with legal counsel. A well‑documented bias audit can identify disparate impact risks, support remediation, and serve as evidence of compliance in litigation. Privacy obligations under the California Consumer Privacy Act as amended by the CPRA may require risk assessments when Automated Decision‑Making Technology substantially contributes to “significant decisions” affecting employees; such assessments should explain tool functionality, identify risks, evaluate risk/benefit proportionality, and plan testing, monitoring, documentation, and human oversight. Practical steps recommended include updating AI governance, evaluating tools for bias and privacy implications, conducting bias audits and required risk assessments, reviewing vendor contracts for indemnification and responsibilities, limiting access to sensitive tools, and providing targeted training. Failure to perform appropriate audits or assessments may expose employers to regulatory enforcement and private claims, whereas a deliberate, documented approach can reduce exposure while enabling AI use. The post invites contact with Dan M. Forman or Linda Wang of CDF’s Privacy Practice Group for consultations on AI policies and procedures and notes CDF’s role representing California employers in labor, employment and immigration matters.